Modal
技能 已验证 活跃Cloud computing platform for running Python on GPUs and serverless infrastructure. Use when deploying AI/ML models, running GPU-accelerated workloads, serving web endpoints, scheduling batch jobs, or scaling Python code to the cloud. Use this skill whenever the user mentions Modal, serverless GPU compute, deploying ML models to the cloud, serving inference endpoints, running batch processing in the cloud, or needs to scale Python workloads beyond their local machine. Also use when the user wants to run code on H100s, A100s, or other cloud GPUs, or needs to create a web API for a model.
To enable AI agents to leverage Modal for deploying and scaling Python applications, especially AI/ML models, on cloud infrastructure with GPU support.
功能
- Serverless GPU compute on demand
- Custom container image builds
- Persistent storage via Volumes
- Web endpoints for APIs and models
- Scheduled jobs and batch processing
使用场景
- Deploying AI/ML models to the cloud
- Running GPU-accelerated workloads
- Serving inference endpoints
- Scaling Python code beyond local machines
非目标
- Managing infrastructure outside of Modal
- Providing a general-purpose CI/CD platform
- Replacing local development environments entirely
先决条件
- Python 3.11+ installed
- uv (Python package manager) installed
- An AI agent supporting the Agent Skills standard
- Modal CLI installed (`uv pip install modal`)
安装
npx skills add K-Dense-AI/claude-scientific-skills通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
已验证类似扩展
Alterlab Modal
98Part of the AlterLab Academic Skills suite. Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Azure Container Registry SDK for Python
100Azure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories. Triggers: "azure-containerregistry", "ContainerRegistryClient", "container images", "docker registry", "ACR".
Azure App Configuration SDK for Python
100Azure App Configuration SDK for Python. Use for centralized configuration management, feature flags, and dynamic settings. Triggers: "azure-appconfiguration", "AzureAppConfigurationClient", "feature flags", "configuration", "key-value settings".
Modal Serverless Gpu
98Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
RunPod Cloud GPU
98通过 RunPod serverless 进行云 GPU 处理。在设置 RunPod 端点、部署 Docker 映像、管理 GPU 资源、排查端点问题或了解成本时使用。涵盖所有 5 个工具包映像（qwen-edit、realesrgan、propainter、sadtalker、qwen3-tts）。
Cloudflare Platform Skill
95全面的 Cloudflare 平台技能，涵盖 Workers、Pages、存储（KV、D1、R2）、AI（Workers AI、Vectorize、Agents SDK）、功能标志（Flagship）、网络（Tunnel、Spectrum）、安全（WAF、DDoS）以及基础设施即代码（Terraform、Pulumi）。适用于任何 Cloudflare 开发任务。偏向于从 Cloudflare 文档中检索信息，而非依赖预训练知识。